| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| keras | 1.53 | 0.2 | 3463 | 49 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| keras | 1.81 | 0.4 | 8901 | 85 |
| kerastase | 1.91 | 0.1 | 5599 | 95 |
| kerassentials | 1.06 | 0.1 | 6742 | 98 |
| kerasal | 1.06 | 0.9 | 2325 | 92 |
| kerassentials scam | 0.46 | 0.6 | 5288 | 86 |
| kerastase prodotti | 1.91 | 0.7 | 3455 | 97 |
| kerastase hair products | 0.34 | 0.9 | 3506 | 51 |
| kerassentials reviews | 1.2 | 0.3 | 6231 | 21 |
| kerastase shampoo | 1.67 | 0.9 | 1405 | 78 |
| kerassentials for toenail fungus | 1.62 | 1 | 1142 | 15 |
| kerastase products | 1.22 | 0.6 | 4853 | 72 |
| kerassentials amazon | 1.34 | 0.2 | 3871 | 86 |
| kerassentials customer reviews | 0.73 | 0.8 | 7482 | 18 |
| kerastase shampoo capelli grassi | 0.5 | 0.3 | 2838 | 9 |
| kerastase usa | 1.63 | 0.3 | 3584 | 66 |
| kerasal patches | 1.83 | 0.7 | 64 | 85 |
| kerassentials reviews and complaints | 1.61 | 0.5 | 1548 | 37 |
| kerassentials oil | 0.82 | 0.6 | 1150 | 10 |
| kerastase genesis | 0.52 | 0.3 | 9100 | 43 |
| kerasal nail fungus | 1.2 | 0.3 | 5611 | 58 |
| kerastase nutritive | 1.33 | 0.6 | 1430 | 98 |
| kerasotes secaucus | 1.26 | 0.1 | 3229 | 86 |
| kerastase tutti prodotti | 1.05 | 0.3 | 220 | 7 |
| kerastase shampoo 1000ml | 0.49 | 0.8 | 3334 | 90 |
| kerastase dove posso compare | 0.68 | 0.6 | 8448 | 77 |
Keras: the Python deep learning API Deep learning for humans. Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
Which frameworks are supported by keras?The frameworks supported by Keras are: Out of these five frameworks, TensorFlow has adopted Keras as its official high-level API. Keras is embedded in TensorFlow and can be used to perform deep learning fast as it provides inbuilt modules for all neural network computations.
How difficult is it to learn keras?Since Keras is a deep learning's high-level library, so you are required to have hands-on Python language as well as basic knowledge of the neural network. We assure you that you will not find any difficulty in this tutorial.
What are the benefits of using keras?Keras is used commercially by many companies like Netflix, Uber, Square, Yelp, etc which have deployed products in the public domain which are built using Keras. It runs smoothly on both CPU and GPU. It supports almost all neural network models. It is modular in nature, which makes it expressive, flexible, and apt for innovative research.
